, Principal

Abstract: Association rule mining over horizontal partitioning data is always an interesting research issue in the field of knowledge and data engineering. Data holder forwards the data sets to centralized server, privacy can be maintained by security protocols, and our security protocol communicates in terms of subsets from both the data holders and player as ingredients for secure transmission. Association rules can be generated at centralized server efficiently. In this paper we are proposing a privacy preserving mining approach with Improved Shamir secret key generation for secure key generation and Bit Wise Matrix approach